{"title":"Self-Controlled Phase Transitions During Market Crashes and Price Corrections","authors":"Jack Sarkissian","doi":"10.2139/ssrn.3512362","DOIUrl":null,"url":null,"abstract":"We study the behavior of ensemble measures of financial markets during crash periods to see if they exhibit the behavior typical for second-order phase transitions. We find that during market crashes the order parameter (defined as the ensemble-average correlation) sharply increases and fluctuations (defined as ensemble volatility) exhibit a spike. In addition, the hysteresis effect is observed for correlations and drawdown (market drop) and a similar effect exists for trading volume and drawdown. These facts point that during crashes the markets not only resemble but undergo a second-order phase transition. Market phases can be identified on a volatility vs drawdown diagram as regions with high and low order parameter. While market dynamics has a self-coordinated nature, the two inputs on phase diagram are measurable directly from the markets.","PeriodicalId":365642,"journal":{"name":"ERN: Behavioral Finance (Microeconomics) (Topic)","volume":"101 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Behavioral Finance (Microeconomics) (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3512362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We study the behavior of ensemble measures of financial markets during crash periods to see if they exhibit the behavior typical for second-order phase transitions. We find that during market crashes the order parameter (defined as the ensemble-average correlation) sharply increases and fluctuations (defined as ensemble volatility) exhibit a spike. In addition, the hysteresis effect is observed for correlations and drawdown (market drop) and a similar effect exists for trading volume and drawdown. These facts point that during crashes the markets not only resemble but undergo a second-order phase transition. Market phases can be identified on a volatility vs drawdown diagram as regions with high and low order parameter. While market dynamics has a self-coordinated nature, the two inputs on phase diagram are measurable directly from the markets.